AgileGrid Solutions
Machine Learning Engineer
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About The Company
Searchability is an innovative technology company dedicated to advancing robotics and automation solutions. Focused on developing cutting-edge machine learning and robotic manipulation technologies, the company aims to revolutionize industries such as agriculture, manufacturing, and logistics. With a strong emphasis on research and development, Searchability leverages deep tech residency programs and collaborates with industry partners to create scalable, intelligent robotic systems capable of handling delicate and unstructured tasks. The company's mission is to enable robots to learn from human demonstrations, adapt to complex environments, and perform tasks that traditionally require skilled human labor, thereby addressing labor shortages and increasing operational efficiency across various sectors.
About The Role
Searchability is seeking a founding Machine Learning Engineer specialized in Robot Learning to join their team remotely in the United Kingdom. This is a unique opportunity to be the first engineer into the business, owning the entire learning stack and contributing directly to the company's core product development. The role involves developing sophisticated algorithms for motion retargeting, imitation learning, and tactile sensing, with a focus on enabling robots to perform delicate tasks such as berry harvesting. The successful candidate will work closely with hardware teams and participate in live demonstrations, including an investor demo scheduled in Helsinki. Initially contracted for three months, this role offers a pathway to a permanent position with equity and leadership opportunities, including a potential progression to CTO following a successful seed raise.
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Qualifications
The ideal candidate will have hands-on experience in deploying learned policies on real robotic hardware, with a strong background in geometry, kinematics, and inverse kinematics within SE(3) space. Proficiency in imitation learning techniques, such as behavior cloning, diffusion policies, or variational learning algorithms, is essential. The candidate must be fluent in PyTorch and experienced with simulation environments like MuJoCo or Isaac. Demonstrated ability to own an entire technology stack independently, from data capture to deployment, is critical. A solid understanding of tactile sensing and familiarity with retargeting pipelines, including AnyTeleop or MANO, is desirable. Candidates should possess excellent problem-solving skills, a collaborative mindset, and a passion for pushing the boundaries of robot learning and manipulation.
Responsibilities
As the founding Machine Learning Engineer, your primary responsibility will be to develop and refine the learning stack that enables robots to perform delicate manipulation tasks. This includes creating egocentric hand tracking systems that translate human demonstrations into morphology-neutral representations, retargeting these motions onto various robot hand kinematics, and integrating tactile feedback into control policies. You will design and implement simulation-to-real transfer methods, defining the crossing point between virtual and real environments to ensure robust policy deployment. Additionally, you will establish engineering standards for the learning stack, guide the technical direction as the team expands, and contribute to the company's strategic growth. Your work will directly impact the company's ability to produce reliable, skillful robotic systems capable of handling complex, unstructured environments.
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Benefits
This role offers a competitive package including a three-month contract at £20,000, with the potential to convert to a permanent position offering £80,000 plus 3 to 5 percent founding equity. As a founding engineer, you will receive equity with standard vesting, credited from day one, and a clear pathway to a leadership position such as CTO following the seed raise. The company provides full ownership of the learning stack, access to a dedicated hardware lab, and exclusive captured data sets. Flights and accommodation will be covered for hardware lab access and the investor demo in Helsinki, facilitating direct engagement with industry stakeholders. The position is fully remote within the UK, offering flexibility and the opportunity to work in a pioneering environment at the forefront of robotics innovation.
Equal Opportunity
Searchability is committed to fostering an inclusive and diverse work environment. We are an equal opportunity employer and welcome applications from individuals of all backgrounds, regardless of race, gender, age, sexual orientation, disability, or any other characteristic protected by law. We believe that diversity drives innovation and are dedicated to creating a workplace where everyone feels valued, respected, and empowered to contribute to our mission of transforming robotics and automation technology.
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